Data Engineer

Title: Enterprise Data Platform Engineer / Data Engineer – MS Fabric Job Type: Contract Contract Length: Long-term consulting opportunity Pay Range: $60-$70/hr Start Date: ASAP Location: Hybrid (Boston or Needham, MA – 4 days onsite required) About the Opportunity Our client, a leader in Financial Services, is looking for a skilled Enterprise Data Platform Engineer to join their team for a long-term consulting opportunity. This project involves building a brand-new Enterprise Data Platform in a true greenfield environment, focusing on establishing a scalable, enterprise‑ready modern data platform architecture. This is an excellent opportunity for a hands‑on engineer who enjoys building foundational platforms from the ground up and working closely with architecture and infrastructure teams. Key Responsibilities & Deliverables Designing and implementing end‑to‑end data ingestion pipelines using Azure services, including API‑based ingestion and Azure Data Factory (ADF). Helping design and build a new enterprise data platform from inception and supporting platform provisioning and enterprise readiness initiatives. Building and managing lakehouse and data warehouse solutions, applying the medallion architecture (bronze, silver, gold layers). Developing and optimizing data transformations using PySpark, ensuring scalability, performance, and cost efficiency. Collaborating with engineering, architecture, and platform teams to contribute to best practices around governance, scalability, security, and operational excellence. Required Skills & Experience Strong Data Engineering experience in modern cloud data environments. Hands‑on experience or strong working knowledge of Microsoft Fabric is highly preferred. Candidates with strong Databricks or Snowflake backgrounds will also be considered. Proven experience working in Azure for data ingestion and orchestration, with strong experience in Azure Data Factory (ADF). Proficiency in PySpark for large‑scale data transformations and optimization. Solid understanding of data storage formats (CSV, JSON, and Parquet) and experience with data warehouse and lakehouse architectures. Practical experience implementing medallion architecture patterns and a strong foundation in data modeling concepts. Experience working in greenfield or platform build‑out environments is highly desirable. Strong cloud and enterprise architecture mindset. Strong communication skills to operate effectively in an evolving, cross‑functional, and client‑facing environment. #J-18808-Ljbffr DeWinter Group